Reputation: 33
Does anyone know how to generate matrix with certain rank in R?
I ultimately want to create data matrix Y = X + E
where rank(X)=k and E~i.i.d.N(0,sigma^2).
Upvotes: 3
Views: 630
Reputation: 115
The easiest is the identity matrix, which has always full rank. So e.g. use:
k <- 10
mymatrix <- diag(k)
Here, rows and columns are equal to the rank you specify
I suppose you want to mimic a regression model, so you might want to have more rows (meaning 'observations') than columns, (e.g. 'variables'). The following code allows you to specify both:
k <- 5 # rank of your matrix
nobs <- 10 # number of lines within X
X <- rbind(diag(k), matrix(rep(0,k*(nobs-k)), ncol=k))
y <- X + rnorm(nobs)
Note, that X - and therefore also y - now have full column rank. there is no multicollinearity in this 'model'.
Upvotes: 1